Vice President- Consumer Analytics

WHAT THIS ROLE ENTAILS AND HOW YOU'LL CONTRIBUTE

The VP, Consumer Analytics is a senior leader responsible for transforming consumer data into actionable insights and measurable business value across Hallmark Media and Hallmark Product & Retail
. This role drives the enterprise-wide data and analytics (D&A) strategy
, ensures trusted governance, advances technology capabilities, and fosters a culture where data informs every decision.

You'll lead the vision and execution of Hallmark's consumer data and analytics strategy, partnering with executive leaders to align priorities and deliver measurable impact.

Key responsibilities include:

• Set the Strategy: Define and evolve the enterprise D&A vision and outcomes in collaboration with senior leadership.
• Build the Operating Model: Create a scalable ecosystem and delivery approach that spans media, product, and retail.
• Lead the Data COE: Oversee a centralized Data Center of Excellence, ensuring data assets and analytics, including AI/ML, are governed, trusted, and effectively delivered.
• Advance Technology & Governance: Align platforms with IT standards, implement governance and privacy processes, and ensure compliance with global regulations such as GDPR, EU AI Act, and CCPA.
• Develop Talent & Culture: Scale data literacy and lead transformation efforts to mature enterprise D&A capabilities.
• Tell the Story: Deliver clear, executive-ready insights that connect consumer signals, financials, and operational data into actionable recommendations.

Success in this role requires strategic vision, executive presence, and the ability to influence at all levels. You'll:

• Model a culture of collaboration and innovation.
• Champion emerging technologies like AI, ML, and predictive analytics.
• Navigate ambiguity with confidence and resilience.
• Translate complex analytics into compelling stories that inspire action.

To thrive in this role, you'll bring deep technical expertise and strong leadership skills that enable you to influence at the highest levels and drive a data-driven culture across the enterprise. Specifically:

• Deep expertise in consumer data, analytics, and governance across complex ecosystems.
• Proven track record building enterprise D&A strategies and high‑performing teams.
• Experience overseeing AI/ML solutions and responsible data practices.
• Strong ability to partner with senior leaders and translate data into strategic decisions.
• Passion for developing talent and scaling a data‑driven culture.

• Bachelor's degree.
• At least 10 years of professional work experience in business management, legal, finance, data, analytics, or information technology, at or near the executive level.
• At least 5 years of progressive leadership and data literacy experience, including leading cross‑functional teams, multidisciplinary environments, and enterprise‑wide data and analytics programs.

• Broad business experience across various functions and departments.
• Bachelor's degree in business administration, technology, engineering, mathematics, computer science, data science, or information systems.
• Experience with in the consumer goods industry.
• Experience in integrating complex, cross‑corporate processes and information strategies.
• Ability to operate and influence effectively across the organization and within complex contexts.
• Strategy and management consulting experience.
• Understanding of regulatory requirements and data protection laws such as GDPR, EU AI Act, and CCPA.
• Expertise in cloud platforms and modern data architecture.
• Experience in advanced analytics, including predictive modeling and statistical analysis.
• Experience and accountability for regulatory compliance and ethical AI practices.

• Incentive/bonus eligible; specific terms discussed during interview.
• Hybrid work arrangement: collaborate in person at the Kansas City, MO office and enjoy remote flexibility.

Hallmark is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, pregnancy, national origin, physical or mental disability, genetics, sexual…